Junior Data Engineer - Geospatial

Permanent contract
London
Salary: Not specified
Unknown
Experience: < 6 months
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Trainline
Trainline

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💻 Junior Data Engineer 📍Location (Hybrid, 40% in office) 💸 £40,000 + Benefits 

Introducing Signalbox at Trainline 👋 

Signalbox is a pioneering technology that uses location data and machine-learning algorithms to detect, track, and map trains in real time. By leveraging the location data in our smartphones, Signalbox can identify the train a device is on, and deliver personalised real-time information direct to travellers.  

Signalbox is a growing team that’s increasingly integrated across the organisation, driving the delivery of geolocation-enhanced tools and features from ideation to production. 

We are looking for a Junior Data Engineer to join the Signalbox team within Trainline. This team is focused on creating innovative train tracking and mapping tools that use machine learning to improve the rail passenger experience.  

In this role, you will help develop and test new tools and algorithms as part of a team bringing geospatial and location-based technologies to the market. Your contributions will include building prototypes to assess feasibility and designing solutions that will be integrated into real-world products. 

As a part of Trainline you will not only receive a competitive salary and benefits, but you’ll be joining an environment where your personal development is a top priority. You’ll be part of a passionate team working on large-scale production systems that deliver impactful solutions used by millions of users. 

As a Junior Data Engineer at Trainline, you will...  🚄  

  • Develop data engineering pipelines to enhance train tracking and contribute to improving our REST API. 
  • Collaborate with the team to test and validate new products and services, ensuring they are ready for real-world application. 
  • Work in a multi-disciplinary team, exchanging knowledge with data engineers, data scientists, and front- and back-end developers to deliver new features and products. 
  • Design tools, frameworks, and processes to improve the speed, efficiency, and reliability of services already in production. 

Work as part of Introducing Signalbox at Trainline 👋 

Signalbox is a pioneering technology that uses location data and machine-learning algorithms to detect, track, and map trains in real time. By leveraging the location data in our smartphones, Signalbox can identify the train a device is on, and deliver personalised real-time information direct to travellers.  

The Signalbox team is increasingly integrated across the organisation, driving the delivery of geolocation-enhanced tools and features from ideation to production. 

We'd love to hear from you if you... 🔍    

  • Hold a degree in engineering, physics, computer science, or another quantitative discipline, or bring relevant transferable skills  
  • Have experience working with SQL and Python, and are familiar with Python libraries such as Flask, Fast API, Django, Pandas, SQLAlchemy. 
  • Understand optimisation techniques like partitioning and indexing in relational database systems. 
  • Are familiar with data stores such as PostgreSQL, DynamoDB, and Redis. 
  • Can use data visualisation tools to create charts or diagrams to support data-driven discussions.  
  • Communicate effectively and can present your ideas and work clearly to colleagues across technical and non-technical teams.

Nice to have 😍 

  • Knowledge of geospatial analysis, including working with tools like Shapely, GeoPandas, or Turf.  
  • Interest or experience with maps or location-based applications like Google Maps or Mapbox. 
  • Some knowledge of DevOps technologies such as Terraform, Bash, Linux operating systems, and Docker. 
  • Familiarity with CI/CD technologies, such as GitHub Actions. 
  • Exposure to AWS services like ECS, ECR, RDS, and Redis. 

If you don’t meet every requirement listed but feel this role is a good fit for your skills and career goals, we encourage you to apply. We are looking for individuals who bring diverse ideas and perspectives to the team.  

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